Fall 2015 Schedule (ISQS 7339, Business Analytics)

 

MW, BA003

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Textbooks and Lecture Materials:

Mining Textual Data Using SAS Text Miner (DMTM)

Decision Trees for Business Intelligence and Data Mining: Using SAS Enterprise Miner - (DT)

Decision Tree Modeling, SAS Course Notes (DMDT) *

Advanced Predictive Modeling Using SAS Enterprise Miner, SAS Course Notes (PMAD61) *

Social Media Mining (SMM)

Mining the Social Web (MSW)

* Note: The electronic versions are available to registered students

 

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Date

Day

Contents

Readings & References

Assignments

Notes

1

24-Aug

Monday

Introduction

DT-1

2

26-Aug

Wednesday

Text Mining

DMTM-1

3

31-Aug

Monday

Text Mining

DMTM-1

Ex1 (due 9/14)

Quiz 1 (Decision tree review)

4

2-Sep

Wednesday

Text Mining

DMTM-2

5

7-Sep

Monday

Labor Day

 

6

9-Sep

Wednesday

Text Mining

DMTM-3

Form project teams

7

14-Sep

Monday

Decision Tree Algorithms

DT-2, DMDT-1

Quiz 2

8

16-Sep

Wednesday

Decision Tree Algorithms, Recursive Partitioning

DT-2, DMDT-1

EX2 (due 9/28)

 

9

21-Sep

Monday

Recursive Partitioning

DT-2, DMDT-2

 

10

23-Sep

Wednesday

The Mechanism of DT Construction

DT-3, DMDT-3

11

28-Sep

Monday

Auxiliary Use of Tree

DMDT-4, DT-4

Quiz 3

12

30-Sep

Wednesday

Ensembles of Trees

DMDT-5

EX3 (due 10/14)

13

5-Oct

Monday

Theoretical Issues of Decision Tree

DMDT-6, DT-5

Proj-1 proposal due

14

7-Oct

Wednesday

Improving Input Selection

DMDT-6, DT-5, PMAD-2

 

 

15

12-Oct

Monday

Multiple Target Prediction

PMAD-3

Quiz 4

16

14-Oct

Wednesday

Multiple Target Prediction

PMAD-3

EX4 (due 10/26)

17

19-Oct

Monday

Reserved for term Project Advisory meetings

18

21-Oct

Wednesday

Reserved for term Project Advisory meetings

19

26-Oct

Monday

Targeted advertising

20

28-Oct

Wednesday

Targeted advertising

EX5 (due 11/09)

21

2-Nov

Monday

Introduction to Social Network Analytics

1.     Concepts of social network

2.     Structure of the lectures

3.     Social network data sources

4.     An introduction to Python

5.     Your first Python program

SMM-1

Quiz 5

Proj-1 due

22

4-Nov

Wednesday

Case: Facebook

1.     Analytic theme Social media marketing

2.     Examining friendship

3.     Data acquisition

4.     Demonstration

5.     Exercises

MSW-2

23

9-Nov

Monday

Graph Essentials

SMM-2

Quiz 6-1 (Python)

24

11-Nov

Wednesday

Network Measures & Models

SMM-3&4

EX6 (Complete the Python exercises in the classes, no submission required, due 11/20)

 

25

16-Nov

Monday

Community Analysis

SMM-6

Quiz6-2 (Theory)

26

18-Nov

Wednesday

Influence and Homophily

SMM-8

 

Proj-2 work plan due

27

23-Nov

Monday

Recommendation in Social Media

SMM-9

EX7 (complete the assignments in the slides, no submission required, due 11/30)

25-Nov

Wednesday

Thanksgiving

 

 

26

30-Nov

Monday

Recommendation in Social Media

Ref1, Ref2

 

Quiz 7

27

2-Dec

Wednesday

Final exam review (SNA)

 

 

 

 

4-Dec

Friday

Final exam (Session 2)

 

 

13:30-16:00

 

7-Dec

Monday

 

 

Proj-2 report due

 

9-Dec

Wednesday

Final exam (Session 1)

 

 

19:30-22:00